Physical evidence identification teaching method, system and device, medium and computer program product
By generating and rendering simulated specimen samples on the student terminal, performing microscope simulation experiments and infrared spectroscopy detection, the problem of not being able to arrange all experiments in real experimental teaching is solved, and virtual simulation experiment teaching is realized on the mobile terminal, which improves students' awareness and operational capabilities.
Patent Information
- Application Number
- CN202411418743.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-11
- Publication Date
- 2025-02-11
AI Technical Summary
Due to time and space limitations, all experiments cannot be arranged in real experimental teaching, and students cannot learn independently at any time. Especially in terms of physical evidence identification, a virtual simulation experimental software is needed to teach on the mobile terminal.
Provide a teaching method for physical evidence identification, which generates and renders simulated specimen samples through student terminals, performs microscope simulation experiments and infrared spectroscopy detection, records experimental data and generates experimental reports, and realizes virtual simulation experimental teaching.
It realizes virtual simulation experiment teaching on the mobile terminal, meets students' needs for hands-on operations, avoids the limitations of the environment and experimental conditions, and improves students' understanding of the principles of physical evidence identification and hair detection experimental phenomena.
Smart Images
Figure CN119418570A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of virtual simulation experiment teaching, and in particular to a physical evidence identification teaching method, system, device, medium and computer program product. Background Art
[0002] At present, with the reform of the trial-centered litigation system, physical evidence identification technology plays an increasingly important role in litigation and case detection. As a common type of physical evidence, hair and fiber evidence plays a key role in case detection.
[0003] Due to time and space constraints, many experiments cannot be arranged in real experimental teaching, and students cannot learn independently at any time. Therefore, a virtual simulation experiment software is needed, especially a physical evidence identification teaching method that can perform virtual simulation on mobile terminals such as mobile phones and tablets. Summary of the invention
[0004] The embodiments of the present invention provide a physical evidence identification teaching method, system, device, medium and computer program product to solve at least one of the above-mentioned technical problems.
[0005] In order to achieve the above object, in a first aspect, the present invention provides a teaching method for physical evidence identification, comprising the following steps:
[0006] Generate and render a first specimen sample according to a first experimental parameter from a first target terminal, a preset hair and fiber identification teaching model, and a preset first teaching script, wherein the first target terminal is a student terminal, the first specimen sample at least includes a simulated cross-sectional specimen sample and a simulated longitudinal section specimen of hair and fiber, and the first experimental parameter is obtained after the student is guided by the first teaching script to fill in the first target terminal;
[0007] According to the second experimental parameter from the first target terminal and the preset second teaching script, the first specimen sample is enlarged or reduced and the first experimental data from the first target terminal is recorded, wherein the second experimental parameter is obtained after the student is guided by the second teaching script to fill in the first target terminal;
[0008] According to the third experimental parameter from the first target terminal, the preset simulated infrared spectrum detection model and the preset third teaching script, the first specimen sample is subjected to simulated infrared spectrum detection and the second experimental data from the first target terminal is recorded, wherein the third experimental parameter is obtained after the student is guided by the third teaching script to fill in the first target terminal;
[0009] generating a first experimental report corresponding to the hair and fiber evidence identification simulation experiment according to the first experimental data and the second experimental data;
[0010] Generate a second experimental report corresponding to the real experiment of hair and fiber evidence identification according to the third experimental data from the first target terminal, wherein the third experimental data is configured as all experimental data from the first target terminal when the real experiment of hair and fiber evidence identification is performed;
[0011] The first experiment report and the second experiment report are sent to a second target terminal, wherein the second target terminal is a teacher terminal.
[0012] Furthermore, the first teaching script at least includes the production process and basic knowledge of hair and fiber specimens.
[0013] Furthermore, the second teaching script at least includes the microscope simulation experiment operation process and preset microscope morphological characteristics of hair, chemical fiber, plant fiber and animal fiber.
[0014] Furthermore, the third teaching script at least includes the infrared spectrometer simulation experiment operation process, infrared spectrometer parameter settings, and preset infrared spectrum morphological characteristics of hair, chemical fiber, plant fiber and animal fiber.
[0015] Furthermore, it also includes:
[0016] Performing a physical evidence extraction simulation according to the fourth experimental parameter from the first target terminal, a preset real accident scene model and a preset fourth teaching script, generating and rendering a second specimen sample, wherein the fourth experimental parameter is obtained after the student is guided by the fourth teaching script to fill in the first target terminal;
[0017] According to the second specimen sample and the preset fifth teaching script, a physical evidence identification simulation is performed and fourth experimental data is recorded, wherein the fourth experimental data is configured as experimental data generated in the physical evidence extraction simulation and the physical evidence identification simulation.
[0018] Furthermore, the step of establishing the hair and fiber identification teaching model or the real accident scene model includes:
[0019] Using 3DMAX to obtain multiple target models and perform mapping and beautification processing on the target models, wherein the target models at least include a hair model, a fiber model, a character model, a car model and a scene model required for physical evidence identification teaching;
[0020] The target model after the texture beautification process is imported into Unity3D for interactive design to obtain the hair and fiber identification teaching model or the real accident scene model.
[0021] In a second aspect, the present invention provides a physical evidence identification teaching system, comprising:
[0022] a simulated specimen preparation teaching module, the simulated specimen preparation module being used to generate and render a first specimen sample according to a first experimental parameter from a first target terminal, a preset hair and fiber identification teaching model and a preset first teaching script, wherein the first target terminal is a student terminal, the first specimen sample at least includes a simulated cross-sectional specimen sample and a simulated longitudinal section specimen of hair and fiber, and the first experimental parameter is obtained after the student is guided by the first teaching script to fill in the first target terminal;
[0023] a simulated microscope teaching module, the simulated microscope teaching module being used to magnify or reduce the first specimen sample and record the first experimental data from the first target terminal according to the second experimental parameter from the first target terminal and a preset second teaching script, wherein the second experimental parameter is obtained after the student is guided by the second teaching script to fill in the first target terminal;
[0024] a simulated infrared spectrum detection teaching module, wherein the simulated infrared spectrum detection teaching module is used to perform simulated infrared spectrum detection on the first specimen sample and record the second experimental data from the first target terminal according to the third experimental parameter from the first target terminal, a preset simulated infrared spectrum detection model and a preset third teaching script, wherein the third experimental parameter is obtained after the student is guided by the third teaching script to fill in the first target terminal;
[0025] A first experimental report generating module, the first experimental report generating module is used to generate a first experimental report corresponding to the hair and fiber evidence identification simulation experiment according to the first experimental data and the second experimental data;
[0026] A second experimental report generating module, the second experimental report generating module is used to generate a second experimental report corresponding to the real experiment of hair and fiber evidence identification according to the third experimental data from the first target terminal, wherein the third experimental data is configured as all experimental data from the first target terminal when the real experiment of hair and fiber evidence identification is performed;
[0027] An experiment report sending module, wherein the experiment report sending module is used to send the first experiment report and the second experiment report to a second target terminal, wherein the second target terminal is a teacher terminal.
[0028] In a third aspect, the present invention provides a physical evidence identification teaching device, comprising a memory and a processor, wherein the memory stores at least one program, and the at least one program is executed by the processor to implement the physical evidence identification teaching method as described in any one of the first aspects.
[0029] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein at least one program is stored in the storage medium, and the at least one program is executed by a processor to implement the physical evidence identification teaching method as described in any one of the first aspects.
[0030] In a fifth aspect, the present invention provides a computer program product, comprising a computer program, characterized in that when the computer program is executed by a processor, the steps of the physical evidence identification teaching method as described in any one of the first aspects are implemented.
[0031] The above technical solution has the following technical effects:
[0032] The reasonable experimental operation sequence is controlled by scripts to enable every student to operate and watch clearly. At the same time, the emergence of virtual experiment software not only meets the students' needs for hands-on operation, but also is not restricted by the environment and experimental conditions. It can maximize students' clear understanding of the principles of physical evidence identification and hair detection experimental phenomena. BRIEF DESCRIPTION OF THE DRAWINGS
[0033] Figure 1 A schematic diagram of a flow chart of an embodiment of a physical evidence identification teaching method of the present invention;
[0034] Figure 2 A schematic diagram of simulating wearing of sterile gloves in an embodiment of a physical evidence identification teaching method of the present invention;
[0035] Figure 3 A schematic diagram of a process of simulating wearing of sterile gloves in an embodiment of a physical evidence identification teaching method of the present invention;
[0036] Figure 4 The present invention is a structural block diagram of an embodiment of a physical evidence identification teaching system in the present invention. DETAILED DESCRIPTION
[0037] To further illustrate the various embodiments, the present invention provides drawings. These drawings are part of the disclosure of the present invention, which are mainly used to illustrate the embodiments and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, a person of ordinary skill in the art should be able to understand other possible implementations and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.
[0038] The present invention will now be further described with reference to the accompanying drawings and specific implementation methods.
[0039] Embodiment 1
[0040] Reference Figure 1 , a teaching method for physical evidence identification, comprising the following steps:
[0041] S1. Generate and render a first specimen sample according to a first experimental parameter from a first target terminal, a preset hair and fiber identification teaching model and a preset first teaching script, wherein the first target terminal is a student terminal, and the first specimen sample includes at least a simulated cross-sectional specimen sample and a simulated longitudinal section sample of hair and fiber, and the first experimental parameter is obtained after the student is guided by the first teaching script to fill it in at the first target terminal.
[0042] Optionally, the first teaching script at least includes the production process and basic knowledge of hair and fiber specimens.
[0043] Specifically, the production process may include the production process of the fiber longitudinal specimen and the production process of the fiber transverse specimen, and the basic knowledge may include the fiber sample collection rules, collection precautions and morphological characteristics of common fiber samples;
[0044] The first experimental parameters may include setting parameters of the hair and fiber identification teaching model such as fiber / hair length, thickness, material, quantity, curl degree, position coordinates in a simulated glass slide, etc., to generate and render a hair / fiber model with corresponding features.
[0045] S2. According to the second experimental parameters from the first target terminal and the preset second teaching script, the first specimen sample is enlarged or reduced and the first experimental data from the first target terminal is recorded, wherein the second experimental parameters are obtained after the students are guided by the second teaching script to fill in the first target terminal.
[0046] Optionally, the second teaching script includes at least the microscope simulation experiment operation process and preset microscope morphological characteristics of hair, chemical fiber, plant fiber and animal fiber.
[0047] Specifically, the microscope simulation experiment operation process includes:
[0048] View microscope images of fiber specimens, simulations of fiber sample pretreatment, and simulations of fiber sample pressing;
[0049] The second experimental parameters may include setting parameters of the hair and fiber identification teaching model such as microscope magnification, field of view brightness, field of view clarity, liquid level height coordinates, liquid level transparency, contrast, etc., to obtain fiber / hair models with different microscope morphological characteristics.
[0050] S3. According to the third experimental parameter from the first target terminal, the preset simulated infrared spectrum detection model and the preset third teaching script, simulated infrared spectrum detection is performed on the first specimen sample and the second experimental data from the first target terminal is recorded, wherein the third experimental parameter is obtained after the students are guided by the third teaching script to fill it in at the first target terminal.
[0051] Specifically, the third experimental parameter may include infrared spectrometer setting parameters such as spectral range, resolution, signal-to-noise ratio, linearity, and wave number accuracy.
[0052] Optionally, the third teaching script includes at least the infrared spectrometer simulation experiment operation process, infrared spectrometer parameter settings, and preset infrared spectrum morphological characteristics of hair, chemical fiber, plant fiber and animal fiber.
[0053] Optionally, the following steps are also included:
[0054] Performing a physical evidence extraction simulation according to the fourth experimental parameter from the first target terminal, a preset real accident scene model and a preset fourth teaching script, generating and rendering a second specimen sample, wherein the fourth experimental parameter is obtained after the student is guided by the fourth teaching script to fill in the first target terminal;
[0055] According to the second specimen sample and the preset fifth teaching script, a physical evidence identification simulation is performed and fourth experimental data is recorded, wherein the fourth experimental data is configured as experimental data generated in the physical evidence extraction simulation and the physical evidence identification simulation.
[0056] Specifically, the above steps may be arranged before step S4, and the physical evidence extraction simulation includes performing exploration simulation and sample collection simulation at the accident scene;
[0057] The simulation of physical evidence identification includes the simulation of microscope observation of physical evidence, the simulation of infrared spectrometer of physical evidence and the simulation of determining physical evidence samples.
[0058] Further optionally, the step of establishing the hair and fiber identification teaching model or the real accident scene model includes:
[0059] Using 3DMAX to obtain multiple target models and perform mapping and beautification processing on the target models, wherein the target models at least include a hair model, a fiber model, a character model, a car model and a scene model required for physical evidence identification teaching;
[0060] The target model after the texture beautification process is imported into Unity3D for interactive design to obtain the hair and fiber identification teaching model or the real accident scene model.
[0061] Specifically, when using 3DMAX to obtain multiple target models and beautify the target models, first carefully understand the experiment, determine the characters, scenes and cars involved in the experiment, organize them, and make models using 3DMAX;
[0062] Then adjust the relative positions of the saved parts to establish a matching relationship consistent with the reference model, and perform mapping on the material surface. Use the UVW mapping editor in 3DMAX to correct the mapping coordinates of the model. Different parts in different positions should use different material mappings. Name and save each part and the overall model, and store them in the FBX format in the built-in resource folder Assets in Unity3D. Unity3D will automatically import the corresponding 3D model and the corresponding mapping file.
[0063] When the target model after the beautification of the texture is imported into Unity3D for interactive design, and the hair and fiber identification teaching model or the real accident scene model is obtained, a Project folder is first created in Unity3D, and the files are named with the names of the components. A Model folder, a Prefabs folder, a Materials folder, and a Scripts folder are created in the Project folder. The model file in FBX format saved in the Assets folder is imported into the Model folder, and the texture material ball is imported into the Materials folder.
[0064] Secondly, create an empty object named as the scene ID, and another empty object named StepController to mount the script that controls the assembly and disassembly sequence of components; drag the entire model involved in the experiment into the scene frame in the software interface, and place the model according to the operating rules;
[0065] Then, use Excel to write the contents involved in the scene interaction (including action type, trigger, triggered object, camera position, operation content and camera details), and paste the contents of the Excel document into the newly created project file;
[0066] Finally, write a script file to implement the interaction in the scene, set the trigger event and write the script, define global variables in the script: including object trigger type, associated experimental trigger conditions, group ID, number of rotations, displacement, rotation angle, and then set the conditions for completing the experiment and reminders.
[0067] In order to present better hair effects, image color change, simulate the changes of microscope zooming in and out, and simulate precipitation, you can also use UnityShader with Untiy to write matching effects to meet the above requirements. The specific implementation of the shader program is as follows:
[0068] First, define the parameters:
[0069] The main texture Textrue, the world coordinate Height of the height of interface A, the world coordinate ColorHeight of the height of interface B, the color of image A ColorA and the color of image B ColorB.
[0070]
[0071]
[0072] Next, create a sub-shader consisting of tags, common states, and a channel list. It defines a list of rendering channels and optionally initializes the common states required for all channels. Select RednderType = Opaque, which is used for most shaders (normal shaders, self-illumination shaders, reflection shaders, and terrain shaders), and set Queue to the preset transparent shader rendering queue index "Transparent".
[0073] Regarding face culling (Cull), when rendering, by default only the faces facing the camera will be rendered. When using the Cull command to calculate volume shadows, the Cull operation will be used to calculate the projection that intersects with the object.
[0074] There are three types of Cull: Cull Off does not cull, Cull Back culls the back side (the side facing away from the camera), and CullFront culls the front side (the side facing the camera);
[0075] Because liquids are translucent, when viewed from certain angles, you need to be able to see the liquid surface on the other side, so select cull off here and do not cull.
[0076] Then, the shader gives the SubShader a LOD value, and the program sets the LOD value of this shader. Only the first subShader that is less than or equal to the LOD value will be executed;
[0077] Unity's built-in shaders are divided into LOD levels:
[0078] (1)VertexLit kind of shaders 100
[0079] (2)Decal, Reflective VertexLit 150
[0080] (3) Diffuse 200
[0081] (4) Difuse Detail 250
[0082] (5) Bumped, Specular 300
[0083] (6) Bumped Specular 400
[0084] (7) Parallax 500
[0085] (8) Parallax Specular 600
[0086] ZWrite is set to Off, which means that no depth buffer is required, and Blend SrcAlphaOneMinusSrcAlpha is in normal mode (transparency blending).
[0087]
[0088] Next, design a rendering channel (Pass), include the CG code in the CGPROGRAM block, and define two system functions #pragma vertex vert and #pragma fragment frag. Among them, #pragma vertex vert is a function called by the system itself. The vertex function completes the conversion of vertex coordinates to clipping space (from the game environment to the field of view camera screen). #pragma fragment frag is the fragment function. Here is the function name of the fragment function declared, which returns the color value of each pixel on the screen corresponding to the model. Unity's built-in fog effect can produce linear or exponential fog effects based on distance. To write fog effects by yourself, you need to add the #pragma multi_compile_fog instruction and use related macros to reconstruct the position of each pixel in the world space according to the depth texture. Customize the structure appdata, define the thinking vector position information POSITION, and TEXCOORD0 is the UV information of the model.
[0089]
[0090] At the same time, the variables defined in Properties need to be declared here before they can be used in the program.
[0091] The core parts are as follows
[0092]
[0093] When rendering the model, the world coordinate value of each vertex is calculated. When the world coordinate value of the vertex is greater than the _CullHeight boundary, it will be culled and not rendered, that is, the part you see. For vertices below the boundary, if the height of B is greater than the height of A, it needs to be displayed in layers, and the color is displayed as _ColorB. The rest of the parts are the color of A, _ColorA, and the function of the shader part is completed.
[0094] At the same time, you can also set touch parameters in Unity3D to obtain information on 10 touch points. By calculating the distance between the touch point and the pre-set position, you can determine whether it is in the touch area. By controlling touch point 2, students can deeply observe the cross-section and surface morphological characteristics of hair under a microscope, providing basic knowledge for physical evidence identification.
[0095] In addition, in order to simulate the operation of a microscope on mobile phones, tablets and other terminals, it is necessary to control the parent-child inheritance relationship of the camera. When the camera becomes a child object, the mobile phone / tablet becomes a microscope, and the real space posture of the mobile phone / tablet is consistent with the virtual space posture of the microscope. This process uses interactive design to allow students to fully understand how to use the microscope, including the shander special effects of the fiber image.
[0096] Another consideration is to use AR technology to simulate the process of wearing sterile gloves in the identification experiment. This embodiment is designed to use AR to identify the hand, which can partially experience the direction and angle of the hand inserting the glove, which can increase the experience. The difficulty here is the recognition of the hand plane. The ARKit open library can be used to realize AR recognition and superposition. After recognition, the movement of the hand can control the movement of the virtual hand and the interactive animation of the glove. Figures 2 to 3 After accessing the open library of ARKit, it can recognize the position of the hand and basic gestures. When starting the experiment, turn on the camera. At this time, the camera in the virtual scene is equivalent to the camera of a real mobile phone, simulating the first-person perspective; when the user extends a hand into the camera's screen, the program keeps capturing pixels on the screen and analyzing the feature points in the pixels. When a sufficient number of feature points of the human arm are met, the corresponding interface is triggered to capture the position of the hand, and then a model of an arm is instantiated in the virtual experimental scene accordingly, moving with the movement of the hand in the real scene, achieving the purpose of combining virtual and reality.
[0097] For better explanation, this embodiment will use the preparation process of microscope operation simulation and spectrum analysis simulation as an example.
[0098] Step 1: Determine the instruments involved in the experiment and make instrument models.
[0099] First, you need to understand the experimental process of the microscope operation hair identification experiment and list the experimental instruments involved in the experiment. The instruments and materials involved in the entire experiment include human, cat, dog, cow, sheep, rabbit hair and regenerated fibers, synthetic fibers and inorganic fibers, ordinary microscopes, etc. Then use 3DMAX to make the models involved in the experiment.
[0100] Take the modeling of a microscope as an example. First, open the 3DMAX software and create a new file named after the instrument. In the file, create a rectangular shape according to the actual size of the microscope. Change the number of nodes of the rectangle in the editor, select the upper surface of the rectangle, delete it, and then select the command to add a shell in the editor, and manually adjust its thickness to make the microscope have a certain thickness. Edit materials such as metal in the material editor, and assign the edited metal material to the microscope. Add a face to the surface of the microscope model according to the curvature of the microscope. At the same time, create a material with the microscope volume mark and assign this material to the face on the microscope. Use the merge function to merge the face and the rectangle into one object.
[0101] Step 2: Design the experimental scene and write the experimental teaching script.
[0102] After understanding the experiment, the experiment was divided into four scenes, namely making sample slides, switching magnification lenses, observing sample images, and wiping slides.
[0103] Create a new Excel spreadsheet file and display the four scenes of the experiment with four tabs in the file. The actions involved in the overall experiment include click, drag, rotate, slide (ScreenDrag) and long press (LongPress). Each action includes the trigger, the triggered object, the distance between the camera and the trigger, the operation content prompt and the camera position information.
[0104] Step 3: Build the scene in Unity3D and conduct interactive design
[0105] Create a Project folder in Unity3D and name the file with the ID of the experiment. Create a Model folder, a Prefabs folder, a Materials folder, and a Scripts folder in the Project folder. Import the FBX model file saved in the Assets folder into the Model folder, and also import the texture ball of the map into the Materials folder.
[0106] Drag the models required for each scene into the scene frame in the software interface, including models such as the laboratory table, microscope, and slide. After the scene is built, set the entire scene as a prefab. There is an empty object in the scene named StepController, which is used to mount the script for experimental operations. In order to facilitate the search and management of all scenes and scripts of an experiment, all scenes of an experiment are set in a root directory. Among them, the empty object has no physical properties and no three-dimensional entity, that is, the model tree is formed with the empty object as the parent node.
[0107] There are many light source modes to choose from in Unity, including directional light source, point light source, surface light source, spotlight, etc. Here, we use the point light source of natural light source. Create a light source in GameObject, and then modify the Transform property of the light source. By controlling the rotation, translation and other properties of the light source, the position of the light source is placed in a suitable position.
[0108] The operations of the experiment have a certain logical order, so according to the script writing, a basic order is defined for the experiment. When the experiment is executed, it will be carried out according to the logical order in the script.
[0109] Create a folder named after the experiment ID of total alkalinity determination in ash under the Steps folder, and put all the scripts and code programming of each scene in this experiment in this folder. And hang all the scripts and programming codes corresponding to the scene on the StepController of the prefab. The interaction between various objects can be achieved through code writing.
[0110] S4. Generate a first experimental report corresponding to the hair and fiber evidence identification simulation experiment based on the first experimental data and the second experimental data.
[0111] Specifically, a template for the first experimental report can be pre-set, and after the student completes the filling in the report on the mobile terminal, the report can be automatically generated;
[0112] In addition, the fourth second experimental data may also be used as data for generating the first experimental report.
[0113] S5. Generate a second experimental report corresponding to the real experiment of hair and fiber evidence identification based on the third experimental data from the first target terminal, wherein the third experimental data is configured as all experimental data from the first target terminal when conducting the real experiment of hair and fiber evidence identification.
[0114] Specifically, a template for the second experimental report may be pre-set, and the report may be automatically generated after the student completes the filling in the report on the mobile terminal.
[0115] S6. Send the first experiment report and the second experiment report to a second target terminal, wherein the second target terminal is a teacher terminal.
[0116] Specifically, after obtaining the first and second experimental reports, teachers can make corrections and evaluate teaching quality based on the data from the simulation experiment and the real experiment, so as to provide targeted teaching in the future;
[0117] Of course, before sending the first experiment report and the second experiment report to the second target terminal, a correlation analysis may be performed on the first experiment report and the second experiment report through a preset analysis model for reference by the teacher.
[0118] In summary, the beneficial effects of this embodiment include controlling the reasonable experimental operation sequence through scripts to achieve the effect of allowing every student to operate and watch clearly. At the same time, the emergence of virtual experiment software not only meets the students' needs for hands-on operation, but also is not limited by the environment and experimental conditions, and can maximize the students' clear understanding of the principles of physical evidence identification and hair detection experimental phenomena. In addition, it also includes the use of virtual simulation software unity3D to build visual scenes and interactive operation spaces, which can build simulation experimental environments faster and easier, and reduce programming difficulty. At the same time, unity3D can publish versions to Windows, Mac, Wii, iPhone, WebGL, Windows phone and Android platforms, which can meet the needs of publishing on various terminals at the same time.
[0119] Example 2
[0120] Reference Figure 4 The present invention also provides a physical evidence identification teaching system, comprising:
[0121] a simulated specimen preparation teaching module, the simulated specimen preparation module being used to generate and render a first specimen sample according to a first experimental parameter from a first target terminal, a preset hair and fiber identification teaching model and a preset first teaching script, wherein the first target terminal is a student terminal, the first specimen sample at least includes a simulated cross-sectional specimen sample and a simulated longitudinal section specimen of hair and fiber, and the first experimental parameter is obtained after the student is guided by the first teaching script to fill in the first target terminal;
[0122] a simulated microscope teaching module, the simulated microscope teaching module being used to magnify or reduce the first specimen sample and record the first experimental data from the first target terminal according to the second experimental parameter from the first target terminal and a preset second teaching script, wherein the second experimental parameter is obtained after the student is guided by the second teaching script to fill in the first target terminal;
[0123] a simulated infrared spectrum detection teaching module, wherein the simulated infrared spectrum detection teaching module is used to perform simulated infrared spectrum detection on the first specimen sample and record the second experimental data from the first target terminal according to the third experimental parameter from the first target terminal, a preset simulated infrared spectrum detection model and a preset third teaching script, wherein the third experimental parameter is obtained after the student is guided by the third teaching script to fill in the first target terminal;
[0124] A first experimental report generating module, the first experimental report generating module is used to generate a first experimental report corresponding to the hair and fiber evidence identification simulation experiment according to the first experimental data and the second experimental data;
[0125] A second experimental report generating module, the second experimental report generating module is used to generate a second experimental report corresponding to the real experiment of hair and fiber evidence identification according to the third experimental data from the first target terminal, wherein the third experimental data is configured as all experimental data from the first target terminal when the real experiment of hair and fiber evidence identification is performed;
[0126] An experiment report sending module, wherein the experiment report sending module is used to send the first experiment report and the second experiment report to a second target terminal, wherein the second target terminal is a teacher terminal.
[0127] Example 3
[0128] The present invention also provides a physical evidence identification teaching device, which includes a processor, a memory, a bus, and a computer program stored in the memory and run on the processor. The processor includes one or more processing cores. The memory is connected to the processor via a bus. The memory is used to store program instructions. When the processor executes the computer program, the steps in the above-mentioned method embodiment of the first embodiment of the present invention are implemented.
[0129] Further, as an executable solution, the physical evidence identification teaching device can be a computer unit, and the computer unit can be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The computer unit may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that the composition structure of the above-mentioned computer unit is only an example of a computer unit and does not constitute a limitation on the computer unit. It may include more or less components than the above, or a combination of certain components, or different components. For example, the computer unit may also include input and output devices, network access devices, buses, etc., which are not limited in the embodiments of the present invention.
[0130] Further, as an executable solution, the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the computer unit, and various interfaces and lines are used to connect the various parts of the entire computer unit.
[0131] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the computer unit by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system and at least one application required for a function; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.
[0132] Example 4
[0133] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method in the embodiment of the present invention are implemented.
[0134] If the module / unit integrated in the computer unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory) and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction.
[0135] Embodiment five:
[0136] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the steps of the method described above are implemented.
[0137] Although the present invention has been specifically shown and described in conjunction with the preferred embodiments, it should be understood by those skilled in the art that various changes may be made to the present invention in form and details without departing from the spirit and scope of the present invention as defined by the appended claims, all of which are within the scope of protection of the present invention.
Claims
1. A teaching method for physical evidence identification, characterized in that: The following steps are involved: Generate and render a first specimen sample according to a first experimental parameter from a first target terminal, a preset hair and fiber identification teaching model, and a preset first teaching script, wherein the first target terminal is a student terminal, the first specimen sample at least includes a simulated cross-sectional specimen sample and a simulated longitudinal section specimen of hair and fiber, and the first experimental parameter is obtained after the student is guided by the first teaching script to fill in the first target terminal; According to the second experimental parameter from the first target terminal and the preset second teaching script, the first specimen sample is enlarged or reduced and the first experimental data from the first target terminal is recorded, wherein the second experimental parameter is obtained after the student is guided by the second teaching script to fill in the first target terminal; According to the third experimental parameter from the first target terminal, the preset simulated infrared spectrum detection model and the preset third teaching script, the first specimen sample is subjected to simulated infrared spectrum detection and the second experimental data from the first target terminal is recorded, wherein the third experimental parameter is obtained after the student is guided by the third teaching script to fill in the first target terminal; generating a first experimental report corresponding to the hair and fiber evidence identification simulation experiment according to the first experimental data and the second experimental data; Generate a second experimental report corresponding to the real experiment of hair and fiber evidence identification according to the third experimental data from the first target terminal, wherein the third experimental data is configured as all experimental data from the first target terminal when the real experiment of hair and fiber evidence identification is performed; The first experiment report and the second experiment report are sent to a second target terminal, wherein the second target terminal is a teacher terminal.
2. The teaching method for physical evidence identification according to claim 1, characterized in that: The first teaching script at least includes the production process and basic knowledge of hair and fiber specimens.
3. The teaching method for physical evidence identification according to claim 1, characterized in that: The second teaching script at least includes the microscope simulation experiment operation process and preset microscope morphological characteristics of hair, chemical fiber, plant fiber and animal fiber.
4. The physical evidence identification teaching method according to claim 1, characterized in that: The third teaching script at least includes the infrared spectrometer simulation experiment operation process, infrared spectrometer parameter settings, and preset infrared spectrum morphological characteristics of hair, chemical fiber, plant fiber and animal fiber.
5. The teaching method for physical evidence identification according to claim 1, characterized in that: Also includes: Performing a physical evidence extraction simulation according to the fourth experimental parameter from the first target terminal, a preset real accident scene model and a preset fourth teaching script, generating and rendering a second specimen sample, wherein the fourth experimental parameter is obtained after the student is guided by the fourth teaching script to fill in the first target terminal; According to the second specimen sample and the preset fifth teaching script, a physical evidence identification simulation is performed and fourth experimental data is recorded, wherein the fourth experimental data is configured as experimental data generated in the physical evidence extraction simulation and the physical evidence identification simulation.
6. The physical evidence identification teaching method according to claim 5, characterized in that: The steps of establishing the hair and fiber identification teaching model or the real accident scene model include: Using 3DMAX to obtain multiple target models and perform mapping and beautification processing on the target models, wherein the target models at least include a hair model, a fiber model, a character model, a car model and a scene model required for physical evidence identification teaching; The target model after the texture beautification process is imported into Unity3D for interactive design to obtain the hair and fiber identification teaching model or the real accident scene model.
7. A physical evidence identification teaching system, characterized in that: include: a simulated specimen preparation teaching module, the simulated specimen preparation module being used to generate and render a first specimen sample according to a first experimental parameter from a first target terminal, a preset hair and fiber identification teaching model and a preset first teaching script, wherein the first target terminal is a student terminal, the first specimen sample at least includes a simulated cross-sectional specimen sample and a simulated longitudinal section specimen of hair and fiber, and the first experimental parameter is obtained after the student is guided by the first teaching script to fill in the first target terminal; a simulated microscope teaching module, the simulated microscope teaching module being used to magnify or reduce the first specimen sample and record the first experimental data from the first target terminal according to the second experimental parameter from the first target terminal and a preset second teaching script, wherein the second experimental parameter is obtained after the student is guided by the second teaching script to fill in the first target terminal; a simulated infrared spectrum detection teaching module, wherein the simulated infrared spectrum detection teaching module is used to perform simulated infrared spectrum detection on the first specimen sample and record the second experimental data from the first target terminal according to the third experimental parameter from the first target terminal, a preset simulated infrared spectrum detection model and a preset third teaching script, wherein the third experimental parameter is obtained after the student is guided by the third teaching script to fill in the first target terminal; A first experimental report generating module, the first experimental report generating module is used to generate a first experimental report corresponding to the hair and fiber evidence identification simulation experiment according to the first experimental data and the second experimental data; A second experimental report generating module, the second experimental report generating module is used to generate a second experimental report corresponding to the real experiment of hair and fiber evidence identification according to the third experimental data from the first target terminal, wherein the third experimental data is configured as all experimental data from the first target terminal when the real experiment of hair and fiber evidence identification is performed; An experiment report sending module, wherein the experiment report sending module is used to send the first experiment report and the second experiment report to a second target terminal, wherein the second target terminal is a teacher terminal.
8. A physical evidence identification teaching device, characterized in that: The method comprises a memory and a processor, wherein the memory stores at least one program, and the at least one program is executed by the processor to implement the physical evidence identification teaching method as claimed in any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that: The storage medium stores at least one program, and the at least one program is executed by a processor to implement the physical evidence identification teaching method as described in any one of claims 1 to 6.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the physical evidence identification teaching method as described in any one of claims 1 to 6 are implemented.